Resilience of airborne networks

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Title: Resilience of airborne networks
Authors: Ahmadi, HamedFontanesi, GianlucaKatzis, KonstantinosShakir, Muhammad ZeeshanZhu, Anding
Permanent link: http://hdl.handle.net/10197/10898
Date: 12-Sep-2018
Online since: 2019-07-12T09:03:11Z
Abstract: Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologies can enhance the resilience of networked flying platforms.
Type of material: Conference Publication
Publisher: IEEE
Volume: 2018-September
Start page: 1155
End page: 1156
Copyright (published version): 2018 IEEE
Keywords: Networked flying platformsResilienceSelf-organizing networksMachine learningBlockchain
DOI: 10.1109/PIMRC.2018.8580944
Other versions: http://pimrc2018.ieee-pimrc.org/
Language: en
Status of Item: Not peer reviewed
Is part of: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Conference Details: 2018 IEEE: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Bologna, Italy 9-12 September 2018
ISBN: 9781538660096
Appears in Collections:Electrical and Electronic Engineering Research Collection

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